Advertisement

Risk-Based Maintenance for Electricity Network Organizations

  • Ravish Preshant Yashraj Mehairjan

Table of contents

  1. Front Matter
    Pages i-xxi
  2. Ravish Preshant Yashraj Mehairjan
    Pages 1-8
  3. Ravish Preshant Yashraj Mehairjan
    Pages 9-30
  4. Ravish Preshant Yashraj Mehairjan
    Pages 31-53
  5. Ravish Preshant Yashraj Mehairjan
    Pages 55-81
  6. Ravish Preshant Yashraj Mehairjan
    Pages 83-104
  7. Ravish Preshant Yashraj Mehairjan
    Pages 105-118
  8. Ravish Preshant Yashraj Mehairjan
    Pages 119-127
  9. Back Matter
    Pages 129-155

About this book

Introduction

This book focuses on the introduction of new and modern maintenance management frameworks of assets in the electricity & gas network sector and more specifically, on electricity networks for distribution. The author describes methodologies for developing and implementing maintenance management maturity models, using case studies to show how these have been applied. These maturity models are discussed as part of an overarching, multi-disciplinary organizational maintenance management professionalization framework. This book adds a new dimension to the well-known Reliability Centered Maintenance (RCM) method, by incorporating failure modes via multiple scenarios into business values, by means of statistical risk calculation methods. The author demonstrates a method called Utility Risk Linked RCM, which uses a statistical tool to develop failure models which can be used to predict future failure behavior of assets in relation to corporate business valuesThis new method is a practical, structured and comprehensive framework for assessing risk based maintenance policies. The book also proposes a condition monitoring framework that can be used as a guide to assist asset managers in identifying the relationship between failure modes, ageing processes to select amongst condition monitoring regimes.

Keywords

Maintenance Management in Network Utilities Facility Integrity Management Reliability Centered Maintenance Asset, Risk & Maintenance Management, Electricity & Gas ISO 55000 Statistical Life Data Analysis

Authors and affiliations

  • Ravish Preshant Yashraj Mehairjan
    • 1
  1. 1.RotterdamThe Netherlands

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-49235-3
  • Copyright Information Springer International Publishing AG 2017
  • Publisher Name Springer, Cham
  • eBook Packages Energy
  • Print ISBN 978-3-319-49234-6
  • Online ISBN 978-3-319-49235-3
  • Buy this book on publisher's site
Industry Sectors
Materials & Steel
Chemical Manufacturing
Law
Energy, Utilities & Environment
Oil, Gas & Geosciences
Engineering